101 to 200 Most Popular Boy Baby Names by Pronunciation in the US 1963 - Combined Name Rankings

About Distortion Index

The Distortion Index shows how much the ranking might be skewed by alternative spellings of the same pronunciation. A higher index (closer to 1.0) means the main name represents a smaller portion of the total, indicating the ranking could be misleading. A lower index (closer to 0.0) means the main name dominates, making the ranking more accurate.

Low Distortion (0.07): Jayden (1,000) + Zayden (50) + Jaden (30) = Main name dominates
High Distortion (0.91): Jayden (100) + Zayden (800) + Jaden (200) = Alternative spellings dominate
Distortion Index Color Guide:
0.0-0.29 Low Distortion (Green) - Main name dominates
0.3-0.69 Medium Distortion (Orange) - Moderate alternative spellings
0.7-1.0 High Distortion (Red) - Alternative spellings dominate
Rank Adjustment Explanation:

Adjusted Rank: The primary rank shown reflects the combined count of all similar pronunciation names, providing a more accurate representation of the name's true popularity. Original Rank: The rank in parentheses shows the original ranking based on the main name only, before grouping similar pronunciations.

Rank Change Indicators:
📈 Rank improved (moved up)
📉 Rank declined (moved down)
➡️ Rank unchanged

Advanced Pronunciation Algorithm

We've developed a revolutionary pronunciation comparison algorithm that intelligently groups baby names with similar sounds and pronunciations. Our sophisticated system automatically corrects common typos and misspellings, ensuring accurate name grouping based on phonetic similarity rather than just spelling.

This cutting-edge algorithm uses advanced phonetic analysis to identify names that sound alike but may have different spellings, providing you with the most comprehensive and accurate baby name rankings by pronunciation. 💡 Understanding the Distortion Index is crucial for interpreting these results accurately. While our algorithm is highly accurate, if you notice any grouping errors, please let us know and we'll promptly resolve them.

🔍 Intelligent phonetic analysis and grouping
✏️ Automatic typo correction and misspelling detection
🎯 Accurate pronunciation-based name categorization

Boy Names

Ranking Name Distortion Index Count
101 📉
(Org: 100)
(3,883)
- 3,883
102 ➡️
(Org: 102)
(3,864)
0.01 3,864
103 📈
(Org: 164)
(3,839)
0.49 3,839
104 📉
(Org: 103)
(3,716)
0.01 3,716
105 📈
(Org: 109)
(3,585)
0.06 3,585
106 📉
(Org: 105)
(3,559)
0.01 3,559
107 ➡️
(Org: 107)
(3,509)
0 3,509
108 📈
(Org: 129)
(3,396)
0.23 3,396
109 📈
(Org: 122)
(3,374)
0.14 3,374
110 📈
(Org: 111)
(3,262)
0.01 3,262
111 📈
(Org: 121)
(3,243)
0.1 3,243
112 📉
(Org: 110)
(3,235)
- 3,235
113 📉
(Org: 112)
(3,216)
- 3,216
114 📉
(Org: 113)
(3,192)
- 3,192
115 📈
(Org: 118)
(3,191)
0.05 3,191
116 📉
(Org: 114)
(3,160)
- 3,160
117 📈
(Org: 149)
(3,151)
0.29 3,151
118 📈
(Org: 119)
(3,091)
0.02 3,091
119 📈
(Org: 120)
(2,980)
0 2,980
120 📈
(Org: 127)
(2,931)
0.08 2,931
121 📈
(Org: 126)
(2,862)
0.05 2,862
122 📈
(Org: 124)
(2,848)
0.01 2,848
123 📈
(Org: 125)
(2,819)
0 2,819
124 📈
(Org: 202)
(2,738)
0.47 2,738
125 📈
(Org: 128)
(2,692)
0.01 2,692
126 📈
(Org: 135)
(2,661)
0.05 2,661
127 📈
(Org: 131)
(2,657)
0.03 2,657
128 📈
(Org: 130)
(2,594)
- 2,594
129 📈
(Org: 194)
(2,586)
0.4 2,586
130 📈
(Org: 205)
(2,576)
0.44 2,576
131 📈
(Org: 132)
(2,571)
- 2,571
132 📈
(Org: 133)
(2,570)
0.01 2,570
133 📈
(Org: 134)
(2,525)
- 2,525
134 📈
(Org: 137)
(2,495)
- 2,495
135 📈
(Org: 138)
(2,493)
0.01 2,493
136 📈
(Org: 139)
(2,479)
- 2,479
137 📈
(Org: 140)
(2,461)
0.02 2,461
138 📈
(Org: 142)
(2,437)
0.02 2,437
139 📈
(Org: 144)
(2,414)
0.03 2,414
140 📈
(Org: 141)
(2,399)
- 2,399
141 📈
(Org: 145)
(2,346)
- 2,346
142 📈
(Org: 155)
(2,337)
0.09 2,337
143 📈
(Org: 158)
(2,333)
0.11 2,333
144 📈
(Org: 146)
(2,291)
0.01 2,291
145 📈
(Org: 147)
(2,251)
- 2,251
146 📈
(Org: 148)
(2,234)
- 2,234
147 📈
(Org: 154)
(2,219)
0.03 2,219
148 📈
(Org: 153)
(2,209)
0.02 2,209
149 📈
(Org: 160)
(2,198)
0.05 2,198
149 📈
(Org: 150)
(2,198)
- 2,198
151 📈
(Org: 152)
(2,185)
- 2,185
152 📈
(Org: 157)
(2,156)
0.03 2,156
153 📈
(Org: 187)
(2,115)
0.25 2,115
154 📈
(Org: 156)
(2,111)
- 2,111
155 📈
(Org: 158)
(2,103)
0.01 2,103
156 📈
(Org: 199)
(2,080)
0.28 2,080
157 📈
(Org: 161)
(1,996)
- 1,996
158 📈
(Org: 185)
(1,989)
0.2 1,989
159 📈
(Org: 162)
(1,987)
- 1,987
160 📈
(Org: 165)
(1,972)
0.01 1,972
161 📈
(Org: 163)
(1,963)
- 1,963
162 📈
(Org: 166)
(1,918)
0.03 1,918
163 📈
(Org: 167)
(1,844)
- 1,844
164 📈
(Org: 238)
(1,822)
0.44 1,822
165 📈
(Org: 169)
(1,742)
- 1,742
166 📈
(Org: 170)
(1,730)
0.01 1,730
167 📈
(Org: 171)
(1,719)
0 1,719
168 📈
(Org: 193)
(1,715)
0.1 1,715
168 📈
(Org: 191)
(1,715)
0.09 1,715
170 📈
(Org: 172)
(1,702)
- 1,702
171 📈
(Org: 173)
(1,699)
- 1,699
172 📈
(Org: 184)
(1,697)
0.05 1,697
173 📈
(Org: 174)
(1,689)
- 1,689
174 📈
(Org: 192)
(1,655)
0.06 1,655
175 📈
(Org: 178)
(1,652)
0.01 1,652
176 ➡️
(Org: 176)
(1,644)
- 1,644
177 📈
(Org: 180)
(1,634)
0 1,634
178 📈
(Org: 188)
(1,631)
0.03 1,631
179 ➡️
(Org: 179)
(1,630)
- 1,630
180 📈
(Org: 181)
(1,626)
0 1,626
181 📈
(Org: 182)
(1,616)
- 1,616
181 📈
(Org: 186)
(1,616)
0.02 1,616
183 📈
(Org: 189)
(1,574)
- 1,574
184 📈
(Org: 195)
(1,569)
0.03 1,569
185 📈
(Org: 218)
(1,557)
0.19 1,557
186 📈
(Org: 197)
(1,555)
0.03 1,555
187 📈
(Org: 203)
(1,540)
0.06 1,540
188 📈
(Org: 208)
(1,521)
0.09 1,521
189 📈
(Org: 196)
(1,510)
0 1,510
190 📈
(Org: 197)
(1,501)
- 1,501
191 📈
(Org: 200)
(1,481)
- 1,481
192 📈
(Org: 201)
(1,477)
- 1,477
193 📈
(Org: 204)
(1,462)
0.01 1,462
194 📈
(Org: 209)
(1,442)
0.06 1,442
195 📈
(Org: 206)
(1,439)
0.02 1,439
196 📈
(Org: 207)
(1,404)
0.02 1,404
197 📈
(Org: 211)
(1,380)
0.04 1,380
198 📈
(Org: 259)
(1,378)
0.36 1,378
199 📈
(Org: 210)
(1,333)
- 1,333
200 📈
(Org: 212)
(1,322)
- 1,322